An Integrated Intelligent Control Algorithm for Urban Rail Transit Automatic Train Operation System Based on FST-PID

被引：0

作者：

Liu, Hao ^{[1
]}

Qian, Cunyuan ^{[1
]}

Liang, Yanchu ^{[1
]}

机构：

[1] Tongji Univ, Inst Rail Transit, Dept Elect Tract & Control, Shanghai, Peoples R China

来源：

2017 2ND INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION ENGINEERING (ICRAE) | 2017年

关键词：

automatic train operation (ATO); fuzzy self-tuning PID (FST-PID); urban rail transit;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, an integrated intelligent control algorithm is presented, namely Fuzzy Self-Tuning PID control algorithm, in order to improve the control performance of Automatic Train Operation system. The fuzzy control theory is adopted to refine the conventional PID controller given that fuzzy control theory as the decision-making system is based on the operators' excellent experience, which includes traceability, punctuality, parking accuracy, riding comfort and energy efficiency. The Fuzzy Self-Tuning PID controller's validity is verified by the test based on the interstation of Shanghai Metro Line 11, the simulation results show that it is more effective that implementing Fuzzy Self-Tuning PID controller on Automatic Train Operation system compared to conventional PID-type Automatic Train Operation system.

引用

页码：200 / 206

页数：7

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